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GPT-6-Astra achieves unprecedented embodied intelligence performance, yet practical deployment faces significant hurdles in demonstration cost and physical constraints.
Diffusion models can learn new objectives by stochastically routing attention within their existing architecture, achieving 4x faster RL training without sacrificing generation quality.
Even advanced LLMs struggle to replicate human researchers' ability to find inspiring prior work, highlighting a significant gap in AI's scientific intuition.